This paper presents a mapping of theory use in the design discipline based on the corpus of the published ICED and DESIGN conference papers since 2010. We searched the resulting 4,451 papers for occurrences of theories and compared them with an existing ontology of named theories through natural language processing (NLP). The results yielded a variety of analyses, illustrating, for example, the most-used theories and which disciplines these theories stem from. This paper presents a rich overview of the theories relevant to the design discipline and a novel approach to bibliometric analyses.

Various psychosocial and psychological interventions have been developed to reduce schizophrenia relapse prevention. A better understanding of these active interventions is important for clinical practice and for meaningful allocation of resources. However, no bibliometric analysis of this area has been conducted. Studies were retrieved from the Web of Science Core Collection database. The publication outputs and cooperation of institutions were visualized with Origin 2021. Global cooperation was visualized using ArcGIS Pro3.0. VOSviewer was used to generate visualizations of network of authors and keywords. The number of annual publications generally showed a fluctuating upward trend over the past 20 years. Germany published the most relevant articles (361, 26.76%). The Technical University of Munich was the most productive institution (70, 9.86%). Leucht Stefan published the most articles (46, 6.48%) and had the highest number of citations (4,375 citations). Schizophrenia Research published the most studies (39, 5.49%). Keywords were roughly classified into three clusters: cognitive behavioral therapy (CBT), family interventions and family psychoeducation and other factors related to interventions. The findings provided the current status of research on psychosocial and psychological interventions for schizophrenia relapse prevention from a bibliometric perspective. Recent research has mainly focused on CBT, family interventions and family psychoeducation.

This study offers a comprehensive bibliometric analysis of artificial intelligence (AI) applications in the field of second language (L2) teaching and applied linguistics, spanning from the early developments in 1995 to 2022. It aims to uncover current trends, prominent themes, and influential authors, documents, and sources. A total of 185 relevant articles published in Social Sciences Citation Index (SSCI) indexed journals were analyzed using the VOSviewer bibliometric software tool. Our investigation reveals a highly multidisciplinary and interconnected field, with four main clusters identified: AI, natural language processing (NLP), robot-assisted language learning, and chatbots. Notable themes include the increasing use of intelligent tutoring systems, the importance of syntactic complexity and vocabulary in L2 learning, and the exploration of robots and gamification in language education. The study also highlights the potential of NLP and AI technologies to enhance personalized feedback and instruction for language learners. The findings emphasize the growing interest in AI applications in L2 teaching and applied linguistics, as well as the need for continued research to advance the field and improve language instruction and assessment. By providing a quantitative and rigorous overview of the literature, this study contributes valuable insights into the current state of research in AI-assisted L2 teaching and applied linguistics and identifies key areas for future exploration and development.

How has mainstream academic economic discourse evolved to regain its epistemic authority after the financial crisis of 2008 revealed serious blind spots in economic modelling that shattered the profession’s claim to be able to predict and control macroeconomic variables? To answer this question, we combine content with bibliometric analyses of nearly 70,000 papers on macroeconomics and finance published in academic journals from 1990 to 2019. These analyses reveal how a structural rapprochement between macroeconomics and finance created the new subfield of macro-finance. We show that contributions by central bank economists, driven by central banks’ newly acquired macroprudential mandate, were key to its establishment. Acting within the space of regulatory science, they connected macroeconomic and financial knowledge to satisfy their employers’ administrative needs, while also helping to bridge the gaping hole in economic discourse, thereby taking on an important stabilizing role for the epistemic authority of economics.

The increasing globalisation, the multiculturality of workplaces and the current challenges for organisations generated the need for researchers to support them to manage the workforce. Although the relevance of employee voice for these themes, a lack of shared understanding about this topic results in fragmented literature across and within research fields that limits theoretical advancement and deep comprehension of the phenomenon. Our first aim is to offer a literature review of employee voice by combining systematic and bibliometric methods; the second aim is to understand voice's main issues and implications by considering different research streams. The results present an integrated framework of the leading intellectual knowledge and reveal the main research focuses on voice in domestic contexts. The discussion underlines the cultural issue and context as critical elements for future research by proposing avenues for scholars and some implications for organisations to benefit from the contributions of their members.

This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.

This study aims to synthesize research trends of blended language learning studies over the past two decades, from 2000 to 2019. Data were collected from the Web of Science, and a total of 60 SSCI-indexed journal articles were retrieved for bibliometric synthesis. Drawing on the revised technology-based learning model, participants, learning strategies, research methods, research foci, adopted technologies, and application effectiveness, advantages, and challenges were addressed. The findings demonstrated that publications were increasing rapidly, and that most articles were published in computer-assisted language learning, educational technology, and applied linguistic journals. The most common target language was English as a foreign language, and the most common learners were college students. In most studies, technologies were mainly used for the purposes of practice or exercises. Mixed, quantitative, and qualitative methods were frequently adopted, with a particular eye on the experiment design, questionnaires, and other specific methods in the second decade. Productive language skills, along with autonomy, satisfaction, and motivation, were major research foci. Language management systems and computer and web-based applications were frequently adopted technologies. Findings of application effectiveness, advantages, and challenges were summarized.

The governance of the Arctic as a frontier for international environmental and climate cooperation, resource politics and security governance holds the promise to provide important insights into some of the 21st century’s most enduring and pressing global challenges. This article reviews the state of the art of Arctic governance research (AGR) to assess the potential and limitations of a regional studies community for making sense of Northern politics and contributing to the broader discipline of international relations (IR) research. A bibliometric analysis of 398 articles published in 10 outlets between 2008 and 2019 reveals that AGR faces at least four limitations that undermine understanding and explaining the processes and outcomes of regional politics and inhibit generalisable observations applicable to questions of global governance: academic immaturity, methodological monoculturalism, state-centrism and analytical parochialism. The lack particularly of theoretically driven and comparative research is indicative of a deeper crisis in AGR which, if unaddressed, could further solidify the community’s unjustified reputation as quixotic in orientation and negligible in its contributions to IR research.

A mission statement is a widely used strategic tool that emphasises an organisation’s uniqueness and identity. It was in the early 1980s that academics, managers, and consultants recognised the need for explicitly formulating a mission statement in organisations. Since then, mission statements have remained as a popular strategic tool in organisations. This article conducts a systematic literature review to synthesise research on mission statements. The analysis of the 53 articles selected includes a bibliometric and content analysis. According to their perspective, the works selected were grouped into four thematic areas: (1) mission statement development, (2) mission statement components, (3) mission impact on employees, and (4) mission impact on performance. The overreaching conclusion is that mission statements are widely used in practice but poorly researched in theory. Most articles adopt a managerial phenomenon-based strand, lacking a deep theoretical foundation. The article ends with suggestions for further research in terms of theory, practice, and methodology.

Although a substantial literature on the management of technological innovation exists, several scholars argue that much of this research has been rooted in Western contexts, where key assumptions are very different from those in emerging economies. Building on this viewpoint, we investigate the current state of knowledge on technological innovation in two of the largest and fastest growing emerging economies: China and India. We undertook a bibliometric analysis of author keywords and combined different quantitative approaches – frequency analysis, cluster analysis, and co-word analysis – to review 162 articles on technological innovation published about China and India for the period 1991–2015. From the analyses, the trends in technological innovation research in the two countries and the dominant themes of discussion were identified. These themes were further classified into eight sub-themes. Our key findings indicate a near absence of research on the management of technological innovation based on India, limited volume of research on indigenous aspects of innovation, and a lack of theory-building based on these countries’ contexts. Several suggestions for future research are offered based on the gaps identified.